Department of Applied Computing faculty candidate Yili Ren will give a technical presentation on Monday, February 27, at 1 p.m. online via Zoom.
Talk Title: Intelligent Wireless Systems: from Human Sensing to Object Detection
Talk Abstract: Recently, the prevalence of wireless devices and ubiquitous coverage of wireless networks provide us with the opportunity to extend the capabilities of wireless signals from communication to sensing humans and objects in the physical world. In this talk, I will present our work in building intelligent wireless systems that leverage a novel WiFi vision approach and deep learning to enable various human-computer interaction (HCI), Internet of Things (IoT) as well as security monitoring applications. In particular, the WiFi vision approach could generate a visualization of the signal reflections from the surrounding environment, thus providing the ability for wireless devices to “see” a person in the physical world as we humans do. Deep learning techniques are utilized to extract both spatial and temporal information in the WiFi vision to digitize the human body. Therefore, we can achieve 3D human pose estimation, 3D human mesh construction, as well as person re-identification using wireless signals. In addition, we extend human sensing to object sensing. Specifically, we design a wireless signal-based liquid level sensing system for household containers that can be easily integrated with existing smart home networks and can support various smart home applications.
Bio: Yili Ren is a Ph.D. candidate in the Department of Computer Science at Florida State University. Previously, he received his M.S. degree from the School of Electronics and Information Engineering at Beihang University in 2017. His research interest focuses on mobile computing with an emphasis on integrating the sensing capabilities of wireless and mobile devices to build new classes of Internet of Things (IoT) and smart home applications, enable novel technologies for human-computer interaction (HCI), as well as improve smart home and IoT security. His work has been published at top-tier mobile computing, computer security, and human-computer interaction venues, including ACM SenSys, USENIX Security, and ACM IMWUT (UbiComp). He received the Outstanding Undergraduate Student Award in Henan Province and Graduate Student Merit Scholarship at Beihang University. Most recently, he received the Graduate Student Research Award in the Department of Computer Science at Florida State University.